Objectives

Field sampling

Two distinct locations are being monitored with different historical land-use and management in the region of Aragón (Spain): Cantavieja (40º 30’ 44”, N 0º 22’ 59” W) at 1450m above sea level with a total of 30 plots and Ejea de los Caballeros (42º 01’ 06” N, 1º 08’ 53” W) at 350m with a total of 21 plots. Plot size is 2m by 2m and they are randomly distributed within each location (see Figure 1).

**Figure 1.** Cantavieja (left) and Ejea de los Caballeros (right) locations with the different sampling plots indicated with an orange square plus the plot identifier. The position of the bee hives are shown with a white cross for both locations.

Figure 1. Cantavieja (left) and Ejea de los Caballeros (right) locations with the different sampling plots indicated with an orange square plus the plot identifier. The position of the bee hives are shown with a white cross for both locations.

Data visualization

Location 1 ‘Cantavieja’

Location 2 ‘Ejea caballeros’

Analysis of network structure

Two main aspects of network structure are going to be analyzed for each location: weighted nestedness (NODF) implemented in Almeida-Neto et al. (2008) and the quantitative version of modularity (Dormann and Strauss 2014). To understand how nested or modular are these two networks, the resulting values are compared with nestedness and modularity values of the same networks after randomization (N=1000).

Location 1 ‘Cantavieja’

Nestedness is similar to the one that is expected by chance (P value > 0.05). Thus, there is supporting evidence that there is not a structural pattern regarding nestedness in Cantavieja location.

Analizar y visualizar de forma reproducible las dos parcelas siguiendo, por ejemplo, estos codigos: https://ibartomeus.github.io/hab-sp_ntw/demo.html (Jose y Nacho)

References

Almeida-Neto, Mário, Paulo Guimaraes, Paulo R Guimaraes Jr, Rafael D Loyola, and Werner Ulrich. 2008. “A Consistent Metric for Nestedness Analysis in Ecological Systems: Reconciling Concept and Measurement.” Oikos 117 (8): 1227–39. https://doi.org/10.1111/j.0030-1299.2008.16644.x.
Dormann, Carsten F, and Rouven Strauss. 2014. “A Method for Detecting Modules in Quantitative Bipartite Networks.” Methods in Ecology and Evolution 5 (1): 90–98. https://doi.org/10.1111/2041-210X.12139.